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Building Bridges between Soft and Statistical Methodologies for Data Science

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Luis A. García-Escudero

    1. Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain

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  2. Alfonso Gordaliza

    1. Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain

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  3. Agustín Mayo

    1. Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain

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  4. María Asunción Lubiano Gomez

    1. Departamento de Estadística, I.O. y D.M., University of Oviedo, Oviedo, Spain

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  5. Maria Angeles Gil

    1. Departamento de Estadística, I.O. y D.M., University of Oviedo, Oviedo, Spain

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  6. Przemyslaw Grzegorzewski

    1. Department of Computational Statistics and Data Analysis, Warsaw University of Technology, Warsaw, Poland

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  7. Olgierd Hryniewicz

    1. Department of Stochastic Methods, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

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  • Latest research on Data Analysis and Soft Computing
  • Covers results of the 10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022)
  • Presents current research on the fusion of soft computing methods with probability and statistics

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1433)

Included in the following conference series:

Conference proceedings info: SMPS 2022.

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Table of contents (52 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Multi-dimensional Maximal Coherent Subsets Made Easy: Illustration on an Estimation Problem

    • Loïc Adam, Sébastien Destercke
    Pages 1-8

  3. On Convergence in Distribution of Fuzzy Random Variables

    • Miriam Alonso de la Fuente, Pedro Terán
    Pages 9-15

  4. A Fuzzy Survival Tree (FST)

    • Jorge Luis Andrade, José Luis Valencia
    Pages 16-23

  5. Robust Rao-Type Tests for Non-destructive One-Shot Device Testing Under Step-Stress Model with Exponential Lifetimes

    • Narayanaswamy Balakrishnan, María Jaenada, Leandro Pardo
    Pages 24-31

  6. An Imprecise Label Ranking Method for Heterogeneous Data

    • Tathagata Basu, Sébastien Destercke, Benjamin Quost
    Pages 32-39

  7. The Choice of an Appropriate Stochastic Order to Aggregate Random Variables

    • Juan Baz, Irene Díaz, Susana Montes
    Pages 40-47

  8. A Framework for Probabilistic Reasoning on Knowledge Graphs

    • Luigi Bellomarini, Davide Benedetto, Eleonora Laurenza, Emanuel Sallinger
    Pages 48-56

  9. Biological Age Imputation by Data Depth

    • Stefano Cabras, Ignacio Cascos, Bernardo D’Auria, María Durbán, Vanesa Guerrero, Maicol Ochoa
    Pages 57-64

  10. Monitoring Tools in Robust CWM for the Analysis of Crime Data

    • Andrea Cappozzo, Luis Angel García-Escudero, Francesca Greselin, Agustín Mayo-Iscar
    Pages 65-72

  11. Penalized Model-Based Clustering with Group-Dependent Shrinkage Estimation

    • Alessandro Casa, Andrea Cappozzo, Michael Fop
    Pages 73-78

  12. Robust Diagnostics for Linear Mixed Models with the Forward Search

    • Aldo Corbellini, Luigi Grossi, Fabrizio Laurini
    Pages 79-86

  13. K-Partitioning with Imprecise Probabilistic Edges

    • Tom Davot, Sébastien Destercke, David Savourey
    Pages 87-95

  14. Decision-Making with E-Admissibility Given a Finite Assessment of Choices

    • Arne Decadt, Alexander Erreygers, Jasper De Bock, Gert de Cooman
    Pages 96-103

  15. Copula-Based Divergence Measures for Dependence Between Random Vectors

    • Steven De Keyser, Irène Gijbels
    Pages 104-111

  16. The Winning Probability Relation of Parametrized Families of Random Vectors

    • Hans De Meyer, Bernard De Baets
    Pages 112-119

  17. Convergence of Copulas Revisited: Different Notions of Convergence and Their Interrelations

    • Nicolas Dietrich, Juan Fernández-Sánchez, Wolfgang Trutschnig
    Pages 120-127

  18. An INDSCAL-Type Approach for Three-Way Spectral Clustering

    • Cinzia Di Nuzzo, Salvatore Ingrassia, Donatella Vicari
    Pages 128-135

  19. On Clustering of Star-Shaped Sets with a Fuzzy Approach: An Application to the Clasts in the Cantabrian Coast

    • Maria Brigida Ferraro, Elena Fernández Iglesias, Ana Belén Ramos-Guajardo, Gil González-Rodríguez
    Pages 136-143

  20. Cluster Validity Measures for Fuzzy Two-Mode Clustering

    • Maria Brigida Ferraro, Paolo Giordani, Maurizio Vichi
    Pages 144-150
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  1. Building Bridges between Soft and Statistical Methodologies for Data Science

Keywords

About this book

Nowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science.

This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.

Editors and Affiliations

  • Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain

    Luis A. García-Escudero, Agustín Mayo

  • Departamento de Estadística e I.O., University of Valladolid, Valladolid, Spain

    Alfonso Gordaliza

  • Departamento de Estadística, I.O. y D.M., University of Oviedo, Oviedo, Spain

    María Asunción Lubiano Gomez, Maria Angeles Gil

  • Department of Computational Statistics and Data Analysis, Warsaw University of Technology, Warsaw, Poland

    Przemyslaw Grzegorzewski

  • Department of Stochastic Methods, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Olgierd Hryniewicz

Bibliographic Information

  • Book Title: Building Bridges between Soft and Statistical Methodologies for Data Science

  • Editors: Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-031-15509-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-15508-6Published: 26 August 2022

  • eBook ISBN: 978-3-031-15509-3Published: 24 August 2022

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIII, 408

  • Number of Illustrations: 28 b/w illustrations, 55 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Artificial Intelligence

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